Life Satisfaction Among Diverse Participants.

IF 3 Q1 PRIMARY HEALTH CARE
Razel Bacuetes Milo, Maria Luisa B Ramira, Nicole Martinez
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引用次数: 0

Abstract

Introduction: Mental health (MH) conditions are among the most common chronic health conditions in the United States. Previous studies suggested decreased in life satisfaction post-COVID-19 in other populations outside the United States. This study explored the correlations between life satisfaction and MH among diverse community post-COVID-19 pandemic.

Methods: A cross-sectional, non-experimental, retrospective study. The primary outcome was the Satisfaction with Life Scale total score (SWLS_TS) and the characteristics of the cases from self-reported information. Statistical software SPSS was used for descriptive and inferential analyses.

Results: About 218 cases were included for analysis. Many of the cases were Asian Americans (n = 185, 84.1%). The multiple linear regression model significantly predicted 5.2% of the variance in SWLS_TS. Three out of 6 predictors significantly contributed to the model (age β = .172, t = 2.42, P = .017, ethnicity β = .148, t = 2.07, P = .039, and no history of MH β = .248, t = 3.31, P = .001).

Conclusion: A diverse population was examined post-COVID-19 pandemic, and the findings suggest a positive correlation with age, ethnicity, and no history of MH with SWLS_TS.

不同参与者的生活满意度。
导言:心理健康(MH)问题是美国最常见的慢性健康问题之一。之前的研究表明,在美国以外的其他人群中,COVID-19 后的生活满意度有所下降。本研究探讨了 COVID-19 大流行后不同社区中生活满意度与 MH 之间的相关性:这是一项横断面、非实验性、回顾性研究。主要结果是生活满意度量表总分(SWLS_TS)和自我报告的病例特征。研究使用 SPSS 统计软件进行描述性和推论性分析:约 218 个病例被纳入分析范围。许多病例为亚裔美国人(n = 185,84.1%)。多元线性回归模型显著预测了 SWLS_TS 变异的 5.2%。在 6 个预测因子中,有 3 个对该模型有明显贡献(年龄 β = .172,t = 2.42,P = .017;种族 β = .148,t = 2.07,P = .039;无 MH 病史 β = .248,t = 3.31,P = .001):结论:在COVID-19大流行后对不同人群进行了研究,结果表明年龄、种族和无MH病史与SWLS_TS呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
2.80%
发文量
183
审稿时长
15 weeks
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